Decision support system for lung ventilator settings

Abstract

The present invention relates to a ventilator system capable of displaying complex information patterns in a GUI, thereby allowing a clinician to get subtract complex information from multiple parameters inputs.

Description

TECHNICAL FIELD OF THE INVENTION[0001]The present invention relates to a decision support system for lung ventilator settings. In particular, the present invention relates to a decision support system for lung ventilator settings, which displays technical features of measured physiological parameters providing the clinician with decision support in relation to ventilator settings.BACKGROUND OF THE INVENTION[0002]Patients residing at the intensive care unit typically receive mechanical support for their ventilation. Selecting the appropriate level of mechanical ventilation is not trivial, and it has been shown that appropriate settings can reduce mortality [1].[0003]A challenge with the settings of a mechanical ventilator is that each setting may be beneficial for one physiological parameter of the patient but negative for another physiological parameter. Currently the clinician may get help by ventilator screens, extra devices monitoring physiological parameters (capnograph, pulseox...

AI Technical Summary

Benefits of technology

The present invention is a decision support system for clinicians that helps them understand the physiological parameters of a patient in relation to ventilator settings. The system presents scoring values calculated from the patient's parameters, respirator settings, and clinical preferences in a graphical user interface. The scoring values show conflicting effects of different parameters and settings, making it difficult for the clinician to maintain an overall perspective. To address this problem, the inventors have created different preference functions for each parameter that convert the relevant physiological parameters and settings into a unified scale. This simplifies the decision phase for the clinician by having a unified value for when and how action should be taken. The system also considers the clinical preferences and allows prediction of patient response to changes in settings. The goal of the invention is to provide a mechanical ventilation system that assists clinicians in setting and adjusting ventilator settings by providing relevant and unified information.

Problems solved by technology

On the other hand increased ventilation pressure may result in lung trauma.

Overall, these differences make it difficult for the clinician to maintain an overview for all parameters, their relation to clinical preferences and the balancing of these against each other simply by looking at measured numbers for each parameter.

Current aids for setting mechanical ventilation are limited.

Whilst these may allow clinicians an easier detection of when and how the patient's status is poor, these attempts have not considered how clinical preferences are related to the physiology and current options for setting the ventilator.

However, the scoring variables were presented directly as a table preventing easy and safe interpretation by clinicians.

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